IRCCS Ospedale San Raffaele
Milan, Lombardy, 20132, Italy
NCT Number: NCT07597642
This study explores early breast cancer, focusing on triple-negative and high-risk luminal subtypes. It combines single-cell RNA sequencing and spatial imaging of tumor samples collected at different time points during treatment. The aim is to better understand how cancer cells and immune cells interact and to identify biomarkers that can predict whether a patient will respond to chemo-immunotherapy or develop resistance.
The study assumes that early molecular and spatial changes at the single-cell level can predict treatment response. This knowledge could help doctors adapt therapies, avoiding unnecessary treatment while improving effectiveness. The project seeks to reveal, for the first time, how cellular diversity and spatial relationships contribute to treatment resistance and disease progression.
Tumor samples will be analyzed before treatment, after the first treatment cycle (C1D1), and at surgery. Only the biopsy taken after C1D1 is collected specifically for this study; all other samples come from routine clinical care.
Trial opening soon.
Get Notified18 year and older
Female
Interventional
Not applicable
Milan, Lombardy, 20132, Italy
This exploratory translational study investigates early breast cancer (EBC), focusing on triple-negative (TNBC) and high-risk luminal (ER+/HER2-) subtypes. By integrating single-cell RNA sequencing, using the 10x Genomics platform (or similar technologies if it will be not available at the time of experiment), and spatial imaging analyses from serial tumor biopsies, the project aims to characterize tumor-immune interactions and identify predictive biomarkers of response or resistance to neoadjuvant chemo-immunotherapy.
We hypothesize that early molecular and spatial features, when detected at the single-cell level, can predict treatment sensitivity or resistance. This would enable adaptive therapeutic strategies that minimize overtreatment while maximizing efficacy in EBC. Our goal is to reveal, for the first time, the cellular heterogeneity and spatial interactions that drive therapy resistance and disease progression.
The analysis will be performed on tumor biopsies collected before the start of treatment, after C1D1 and on surgical material. The only tissue sample collected specifically for the study is the biopsy after C1D1.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Serial tumor tissue collection and analysis for the identification of early tumor response biomarkers. Tumor samples will be obtained at three predefined time points: (i) prior to initiation of treatment (baseline biopsy), (ii) after Cycle 1 Day 1 (C1D1) of therapy, and (iii) at the time of surgery (surgical specimen)
Time frame: Pre-treatment, on-treatment (after first cycle of therapy), and post-treatment (surgery or residual disease)
Gene expression levels per single-cell and relative cell clustering (%) by comparing pre-treatment, on-treatment (after first cycle of standard of care neoadiuvant therapy), and post-treatment (surgery or residual disease)
Time frame: Across all collected timepoints (baseline, after C1 of neadiuvant standard of care therapy and at surgery)
pCR and RD will be evaluated across all collected timepoints (baseline, after C1 of neadiuvant standard of care therapy and at surgery)
Contact information is provided by the study sponsor or research team.
IRCCS San Raffaele
Other
Acronym: ONSET
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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